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Marko Tkalcic

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affiliation: University of Primorska, Koper, Slovenia
affiliation (former): Free University of Bolzano/Bozen, Italy

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2020 – today

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2024
[j18]
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Elham Motamedi, Danial Khosh Kholgh, Sorush Saghari, Mehdi Elahi, Francesco Barile, Marko Tkalcic:
Predicting movies' eudaimonic and hedonic scores: A machine learning approach using metadata, audio and visual features. Inf. Process. Manag. 61(2): 103610 (2024)
[j17]
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Ludovico Boratto, Alexander Felfernig, Martin Stettinger, Marko Tkalcic:
Preface on the special issue on group recommender systems. User Model. User Adapt. Interact. 34(3): 483-487 (2024)
[j16]
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Matej Bevec, Marko Tkalcic, Matevz Pesek:
Hybrid music recommendation with graph neural networks. User Model. User Adapt. Interact. 34(5): 1891-1928 (2024)
[c83]
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Elena Spirova, Arsen Matej Golubovikj, Marko Tkalcic:
Music and Myth: The Relationship Between Music Preference and Unverified Beliefs. HCI-SI 2024: 3-10
[c82]
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Arsen Matej Golubovikj, Osnat Mokryn, Marko Tkalcic:
Intended Movie Experience: Linking Elicited Emotions to Eudaimonic and Hedonic Characteristics. IntRS@RecSys 2024: 103-112
[c81]
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Bruce Ferwerda, Panagiotis Germanakos, Marko Tkalcic:
HUMANIZE'24: Seventh Edition. IUI Companion 2024: 113-115
[c80]
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Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2024. IUI Companion 2024: 125-126
[c79]
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Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2024: 9th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2024
[e9]
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Simon Kolmanic, Matjaz Kljun, Marko Tkalcic, Klen Copic Pucihar:
Proceedings of the 8th Human-Computer Interaction Slovenia (HCI SI) Conference 2023, Maribor, Slovenia, January 26, 2024. CEUR Workshop Proceedings 3657, CEUR-WS.org 2024 [contents]
[i2]
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  - journals/corr/abs-2411-16645
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Dietmar Jannach, Alan Said, Marko Tkalcic, Markus Zanker:
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters. CoRR abs/2411.16645 (2024)
2023
[j15]
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  - journals/ia/MotamediT23
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Elham Motamedi, Marko Tkalcic:
User-centric item characteristics for personalized multimedia systems: A systematic review. Intelligenza Artificiale 17(2): 207-228 (2023)
[c78]
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Gregor Grbec, Nino Basic, Marko Tkalcic:
Ranking Footballers with Multilevel Modeling. HCI-SI 2023: 95-101
[c77]
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Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2023. IUI Companion 2023: 179-180
[c76]
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Elham Motamedi, Marko Tkalcic, Zoltán Szlávik:
Eudaimonic and Hedonic Qualities as Predictors of Music Videos' Relevance to Users: A Human-Centric Study. UMAP (Adjunct Publication) 2023: 44-49
[c75]
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Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2023: 8th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2023: 302-304
2022
[j14]
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Denis Helic, Ujwal Gadiraju, Marko Tkalcic:
Editorial: User Modeling and Recommendations. Frontiers Big Data 5: 923397 (2022)
[c74]
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Bruce Ferwerda, Domina Kiunsi, Marko Tkalcic:
Too Much of a Good Thing: When In-Car Driver Assistance Notifications Become Too Much. AutomotiveUI (Adjunct Proceedings) 2022: 79-82
[c73]
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Arsen Matej Golubovikj, Branko Kavsek, Marko Tkalcic:
Imputing Missing Answers in the World Values Survey. HCI-SI 2022
[c72]
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Uros Sergas, Habil Kalkan, Marko Tkalcic:
Tribalism and Fake News: Descriptive and Predictive Models on How Belief Influences News Trust. HCI-SI 2022
[c71]
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Marko Tkalcic:
From Implicit Data to Cognitive Models for Recommender Systems. IIR 2022
[c70]
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Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Sixth HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems Through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2022: 10-12
[c69]
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Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE) 2022. IUI Companion 2022: 13-15
[c68]
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Panagiotis Germanakos, Vania Dimitrova, Ben Steichen, Bruce Ferwerda, Marko Tkalcic:
HAAPIE 2022: 7th International Workshop on Human Aspects in Adaptive and Personalized Interactive Environments. UMAP (Adjunct Publication) 2022: 314-316
[c67]
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Marko Tkalcic, Elham Motamedi, Francesco Barile, Eva Puc, Ursa Mars Bitenc:
Prediction of Hedonic and Eudaimonic Characteristics from User Interactions. UMAP (Adjunct Publication) 2022: 366-370
[r3]
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Marko Tkalcic, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2022: 757-787
2021
[j13]
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  - journals/ipm/ElahiKKSRT21
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Mehdi Elahi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, Marko Tkalcic:
Investigating the impact of recommender systems on user-based and item-based popularity bias. Inf. Process. Manag. 58(5): 102655 (2021)
[c66]
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Mateja Jovanovic, Vida Groznik, Marko Tkalcic:
Predicting the Gullibility of Users from their Online Behaviour. HCI-SI 2021: 35-44
[c65]
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Sead Hrustanovic, Branko Kavsek, Marko Tkalcic:
Recognition of Eudaemonic and Hedonic Qualities from Song Lyrics. HCI-SI 2021: 45-53
[c64]
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Elham Motamedi, Marko Tkalcic:
Prediction of Eudaimonic and Hedonic Movie Characteristics from Subtitles. HCI-SI 2021: 54-61
[c63]
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  - conf/ht/NajafianDBTYT21
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Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev:
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT 2021: 155-164
[c62]
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  - conf/iui/AgrustiGGST21
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Francesco Agrusti, Fabio Gasparetti, Cristina Gena, Giuseppe Sansonetti, Marko Tkalcic:
SOcial and Cultural IntegrAtion with PersonaLIZEd Interfaces (SOCIALIZE). IUI Companion 2021: 9-11
[c61]
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  - conf/iui/GrausFTG21
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Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fifth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2021: 21-23
[c60]
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  - conf/recsys/Reiter-HaasPSMT21
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Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. RecSys 2021: 702-707
[c59]
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Shabnam Najafian, Amra Delic, Marko Tkalcic, Nava Tintarev:
Factors Influencing Privacy Concern for Explanations of Group Recommendation. UMAP 2021: 14-23
[c58]
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Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Reza Hosseini, Mohammad Hossein Rimaz, Nabil El Ioini, Marko Tkalcic, Christoph Trattner, Tammam Tillo:
Recommending Videos in Cold Start With Automatic Visual Tags. UMAP (Adjunct Publication) 2021: 54-60
[e8]
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Marko Tkalcic, Veljko Pejovic, Matjaz Kljun, Klen Copic Pucihar:
Proceedings of the 6th Human-Computer Interaction Slovenia Conference, Koper, Slovenia, November 8, 2021. CEUR Workshop Proceedings 3054, CEUR-WS.org 2021 [contents]
[e7]
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Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic:
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021. ACM 2021, ISBN 978-1-4503-8366-0 [contents]
[e6]
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Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic:
Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8367-7 [contents]
[i1]
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  - journals/corr/abs-2108-02138
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Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex:
Predicting Music Relistening Behavior Using the ACT-R Framework. CoRR abs/2108.02138 (2021)
2020
[j12]
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Marko Tkalcic, Markus Schedl, Peter Knees:
Preface to the Special Issue on user modeling for personalized interaction with music. User Model. User Adapt. Interact. 30(2): 195-198 (2020)
[c57]
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Marko Tkalcic:
Complementing Behavioural Modeling with Cognitive Modeling for Better Recommendations. ISMIS 2020: 3-8
[c56]
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Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Fourth HUMANIZE workshop on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory: Summary. IUI Companion 2020: 19-20
[c55]
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Bruce Ferwerda, Marko Tkalcic:
Exploring the Prediction of Personality Traits from Drug Consumption Profiles. UMAP (Adjunct Publication) 2020: 2-5

2010 – 2019

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2019
[j11]
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Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic:
Personality and taxonomy preferences, and the influence of category choice on the user experience for music streaming services. Multim. Tools Appl. 78(14): 20157-20190 (2019)
[c54]
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Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
Media Monitoring using News Recommenders. IIR 2019: 41-42
[c53]
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Mark P. Graus, Bruce Ferwerda, Marko Tkalcic, Panagiotis Germanakos:
Third workshop on theory-informed user modeling for tailoring and personalizing interfaces (HUMANIZE): preface. IUI Companion 2019: 127-128
[c52]
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Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
Prediction of music pairwise preferences from facial expressions. IUI 2019: 150-159
[c51]
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Marko Tkalcic, Maria Soledad Pera:
ACM RecSys'19 late-breaking results (posters). RecSys 2019: 572-573
[c50]
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Farshad Bakhshandegan Moghaddam, Mehdi Elahi, Reza Hosseini, Christoph Trattner, Marko Tkalcic:
Predicting Movie Popularity and Ratings with Visual Features. SMAP 2019: 1-6
[c49]
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Bruce Ferwerda, Marko Tkalcic:
Exploring Online Music Listening Behaviors of Musically Sophisticated Users. UMAP (Adjunct Publication) 2019: 33-37
[c48]
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Mohammad Hossein Rimaz, Mehdi Elahi, Farshad Bakhshandegan Moghaddam, Christoph Trattner, Reza Hosseini, Marko Tkalcic:
Exploring the Power of Visual Features for the Recommendation of Movies. UMAP 2019: 303-308
[c47]
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Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
A News Recommender System for Media Monitoring. WI 2019: 132-140
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Marko Tkalcic, Sole Pera:
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, RecSys 2019 Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019. CEUR Workshop Proceedings 2431, CEUR-WS.org 2019 [contents]
2018
[j10]
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Markus Schedl, Emilia Gómez, Erika S. Trent, Marko Tkalcic, Hamid Eghbal-Zadeh, Agustín Martorell:
On the Interrelation Between Listener Characteristics and the Perception of Emotions in Classical Orchestra Music. IEEE Trans. Affect. Comput. 9(4): 507-525 (2018)
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Marko Tkalcic, Bruce Ferwerda:
Theory-driven Recommendations: Modeling Hedonic and Eudaimonic Movie Preferences. IIR 2018
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Bruce Ferwerda, Marko Tkalcic:
You Are What You Post: What the Content of Instagram Pictures Tells About Users' Personality. IUI Workshops 2018
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Marko Tkalcic:
Emotions and personality in recommender systems: tutorial. RecSys 2018: 535-536
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Marko Tkalcic, Marco de Gemmis:
UMAP'18 Workshop &Tutorial Chairs' Welcome (overview) & Organization List. UMAP (Adjunct Publication) 2018: 1-2
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Bruce Ferwerda, Marko Tkalcic:
Predicting Users' Personality from Instagram Pictures: Using Visual and/or Content Features? UMAP 2018: 157-161
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Marko Tkalcic, Bruce Ferwerda:
Eudaimonic Modeling of Moviegoers. UMAP 2018: 163-167
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Nicola Tonellotto, Luca Becchetti, Marko Tkalcic:
Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018. CEUR Workshop Proceedings 2140, CEUR-WS.org 2018 [contents]
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Marko Tkalcic:
Emotions and Personality in Recommender Systems. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
2017
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Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos:
IUI'17 Companion-Workshop Summary for HUMANIZE'17. IUI Companion 2017: 13-15
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Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genre Preferences: How Music Taste Varies Over Age Groups. RecTemp@RecSys 2017: 16-20
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Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt:
A Research Tool for User Preferences Elicitation with Facial Expressions. RecSys 2017: 353-354
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Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
How item discovery enabled by diversity leads to increased recommendation list attractiveness. SAC 2017: 1693-1696
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Marko Tkalcic, Dhavalkumar Thakker:
UMAP'17 Late-Breaking Results, Demonstration and Theory, Opinion & Reflection Papers Chairs' Preface & Organization. UMAP (Adjunct Publication) 2017: 1-3
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Bruce Ferwerda, Marko Tkalcic, Markus Schedl:
Personality Traits and Music Genres: What Do People Prefer to Listen To? UMAP 2017: 285-288
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Peter Knees, Kristina Andersen, Alan Said, Marko Tkalcic:
UMAP 2017 Workshop on Surprise, Opposition, and Obstruction in Adaptive and Personalized Systems: Organizers' Welcome & Organization. UMAP (Adjunct Publication) 2017: 347-349
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Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
Introduction to Emotions and Personality in Personalized Systems. Emotions and Personality in Personalized Services 2017: 3-11
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Ante Odic, Andrej Kosir, Marko Tkalcic:
Affective and Personality Corpora. Emotions and Personality in Personalized Services 2017: 163-178
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Mark P. Graus, Bruce Ferwerda, Markus Schedl, Marko Tkalcic, Martijn C. Willemsen, Panagiotis Germanakos:
Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces, HUMANIZE@IUI 2017, Limassol, Cyprus, March 13, 2017. ACM 2017, ISBN 978-1-4503-4905-5 [contents]
2016
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Marco Degemmis, Berardina De Carolis, Andrej Kosir, Marko Tkalcic:
Preface to the Focus Section. IxD&A 28: 105-109 (2016)
[j8]
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Marko Tkalcic, Daniele Quercia, Sabine Graf:
Preface to the special issue on personality in personalized systems. User Model. User Adapt. Interact. 26(2-3): 103-107 (2016)
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Markus Schedl, David Hauger, Marko Tkalcic, Mark S. Melenhorst, Cynthia C. S. Liem:
A dataset of multimedia material about classical music: PHENICX-SMM. CBMI 2016: 1-4
[c32]
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Markus Schedl, Hamid Eghbal-Zadeh, Emilia Gómez, Marko Tkalcic:
An Analysis of Agreement in Classical Music Perception and its Relationship to Listener Characteristics. ISMIR 2016: 578-583
[c31]
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Marko Tkalcic, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst:
Personalized Retrieval and Browsing of Classical Music and Supporting Multimedia Material. ICMR 2016: 393-396
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Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Using Instagram Picture Features to Predict Users' Personality. MMM (1) 2016: 850-861
[c29]
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Markus Schedl, Mark S. Melenhorst, Cynthia C. S. Liem, Agustín Martorell, Oscar Mayor, Marko Tkalcic:
A personality-based adaptive system for visualizing classical music performances. MMSys 2016: 15:1-15:7
[c28]
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Bruce Ferwerda, Mark P. Graus, Andreu Vall, Marko Tkalcic, Markus Schedl:
The Influence of Users' Personality Traits on Satisfaction and Attractiveness of Diversified Recommendation Lists. EMPIRE@RecSys 2016: 43-47
[c27]
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Saikishore Kalloori, Francesco Ricci, Marko Tkalcic:
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques. RecSys 2016: 143-146
[c26]
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Tamas Motajcsek, Jean-Yves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219
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Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
4th Workshop on Emotions and Personality in Personalized Systems (EMPIRE). RecSys 2016: 407
[c24]
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Bruce Ferwerda, Andreu Vall, Marko Tkalcic, Markus Schedl:
Exploring Music Diversity Needs Across Countries. UMAP 2016: 287-288
[c23]
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Marcin Skowron, Marko Tkalcic, Bruce Ferwerda, Markus Schedl:
Fusing Social Media Cues: Personality Prediction from Twitter and Instagram. WWW (Companion Volume) 2016: 107-108
[c22]
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Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Personality Traits and the Relationship with (Non-) Disclosure Behavior on Facebook. WWW (Companion Volume) 2016: 565-568
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Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Andrej Kosir:
Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016. CEUR Workshop Proceedings 1680, CEUR-WS.org 2016 [contents]
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Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
Emotions and Personality in Personalized Services - Models, Evaluation and Applications. Human-Computer Interaction Series, Springer 2016, ISBN 978-3-319-31411-2 [contents]
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Markus Schedl, Emilia Gómez, Erika S. Trent, Marko Tkalcic, Hamid Eghbal-Zadeh, Agustín Martorell:
PHENICX-emotion. Zenodo, 2016
2015
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Tomaz Vodlan, Marko Tkalcic, Andrej Kosir:
The impact of hesitation, a social signal, on a user's quality of experience in multimedia content retrieval. Multim. Tools Appl. 74(17): 6871-6896 (2015)
[c21]
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Bruce Ferwerda, Emily Yang, Markus Schedl, Marko Tkalcic:
Personality Traits Predict Music Taxonomy Preferences. CHI Extended Abstracts 2015: 2241-2246
[c20]
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Peter Knees, Kristina Andersen, Marko Tkalcic:
"I'd like it to do the opposite": Music-Making Between Recommendation and Obstruction. DMRS 2015: 9-16
[c19]
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Markus Schedl, David Hauger, Katayoun Farrahi, Marko Tkalcic:
On the Influence of User Characteristics on Music Recommendation Algorithms. ECIR 2015: 339-345
[c18]
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Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Predicting Personality Traits with Instagram Pictures. EMPIRE@RecSys 2015: 7-10
[c17]
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Marko Tkalcic, Berardina De Carolis, Marco de Gemmis, Ante Odic, Andrej Kosir:
EMPIRE 2015: Workshop on Emotions and Personality in Personalized Systems. RecSys 2015: 343-344
[c16]
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Bruce Ferwerda, Markus Schedl, Marko Tkalcic:
Personality & Emotional States: Understanding Users' Music Listening Needs. UMAP Workshops 2015
[c15]
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Marko Tkalcic, Bruce Ferwerda, David Hauger, Markus Schedl:
Personality Correlates for Digital Concert Program Notes. UMAP 2015: 364-369
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Marko Tkalcic, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2015: 715-739
2014
[c14]
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Marko Tkalcic, Giovanni Semeraro, Marco de Gemmis:
Personality and Emotions in Decision Making and Recommender Systems. DMRS 2014: 14-18
[c13]
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Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic:
Impact of Listening Behavior on Music Recommendation. ISMIR 2014: 483-488
[c12]
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Markus Schedl, Marko Tkalcic:
Genre-based Analysis of Social Media Data on Music Listening Behavior: Are Fans of Classical Music Really Averse to Social Media? WISMM 2014: 9-13
[c11]
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Andrej Kosir, Ante Odic, Marko Tkalcic, Matija Svetina:
Human Decisions in User Modeling: Motivation, Procedure and Example Application. UMAP Workshops 2014
[c10]
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Marko Tkalcic, Bruce Ferwerda, Markus Schedl, Cynthia C. S. Liem, Mark S. Melenhorst, Ante Odic, Andrej Kosir:
Using Social Media Mining for Estimating Theory of Planned Behaviour Parameters. UMAP Workshops 2014
2013
[j6]
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Marko Tkalcic, Ante Odic, Andrej Kosir:
The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions. Inf. Sci. 249: 13-23 (2013)
[j5]
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Ante Odic, Marko Tkalcic, Jurij F. Tasic, Andrej Kosir:
Predicting and Detecting the Relevant Contextual Information in a Movie-Recommender System. Interact. Comput. 25(1): 74-90 (2013)
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Marko Tkalcic, Andrej Kosir, Jurij F. Tasic:
The LDOS-PerAff-1 corpus of facial-expression video clips with affective, personality and user-interaction metadata. J. Multimodal User Interfaces 7(1-2): 143-155 (2013)
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Marko Tkalcic, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Affective Labeling in a Content-Based Recommender System for Images. IEEE Trans. Multim. 15(2): 391-400 (2013)
[c9]
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Mehdi Elahi, Matthias Braunhofer, Francesco Ricci, Marko Tkalcic:
Personality-Based Active Learning for Collaborative Filtering Recommender Systems. AI*IA 2013: 360-371
[c8]
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  - conf/ismir/HaugerSKT13
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David Hauger, Markus Schedl, Andrej Kosir, Marko Tkalcic:
The Million Musical Tweet Dataset - What We Can Learn From Microblogs. ISMIR 2013: 189-194
[c7]
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  - conf/recsys/KosirOT13
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Andrej Kosir, Ante Odic, Marko Tkalcic:
How to improve the statistical power of the 10-fold cross validation scheme in recommender systems. RepSys@RecSys 2013: 3-6
[c6]
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Ante Odic, Marko Tkalcic, Andrej Kosir:
Managing Irrelevant Contextual Categories in a Movie Recommender System. Decisions@RecSys 2013: 29-35
[c5]
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Ante Odic, Marko Tkalcic, Jurij F. Tasic, Andrej Kosir:
Personality and Social Context: Impact on Emotion Induction from Movies. UMAP Workshops 2013
[c4]
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Tomaz Vodlan, Marko Tkalcic, Andrej Kosir:
The Role of Social Signals in Telecommunication: Experimental Design. UMAP Workshops 2013
2012
[c3]
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  - conf/ictinnovations/TkalcicBOKT12
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Marko Tkalcic, Urban Burnik, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Emotion-Aware Recommender Systems - A Framework and a Case Study. ICT Innovations 2012: 141-150
[c2]
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Marko Tkalcic, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Exploiting implicit affective labeling for image recommendations. SMC 2012: 3321-3326
2011
[c1]
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Marko Tkalcic, Ante Odic, Andrej Kosir, Jurij F. Tasic:
Impact of Implicit and Explicit Affective Labeling on a Recommender System's Performance. UMAP Workshops 2011: 342-354
2010
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Marko Tkalcic, Urban Burnik, Andrej Kosir:
Using affective parameters in a content-based recommender system for images. User Model. User Adapt. Interact. 20(4): 279-311 (2010)

2000 – 2009

see FAQ

What is the meaning of the colors in the publication lists?

2008
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Simon Grbec, Marko Tkalcic, Janez Diaci:
The influence of inertial loading on color gamut properties of a TFT LCD display. Displays 29(1): 18-24 (2008)

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